Triple

T19096240
Position Surface form Disambiguated ID Type / Status
Subject Dhaka Cantonment E467412 entity
Predicate partOf P40 FINISHED
Object Dhaka metropolitan area NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dhaka metropolitan area | Statement: [Dhaka Cantonment, partOf, Dhaka metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhaka metropolitan area
Context triple: [Dhaka Cantonment, partOf, Dhaka metropolitan area]
  • A. Greater Dhaka chosen
    Greater Dhaka is the densely populated metropolitan region centered on Bangladesh’s capital city, Dhaka, encompassing its urban core and surrounding suburban and peri-urban areas.
  • B. Dhaka
    Dhaka is the capital and largest city of Bangladesh, serving as the country’s political, economic, and cultural center.
  • C. Dhaka
    Dhaka is a town in the East Champaran district of Bihar, India, known as a local administrative and commercial center in the region.
  • D. Dhaka District
    Dhaka District is an administrative region in central Bangladesh that encompasses the nation’s capital city and serves as a major political, economic, and cultural hub.
  • E. Narayanganj City
    Narayanganj City is a major industrial and river port city in central Bangladesh, known for its textile and jute industries and its proximity to the capital, Dhaka.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.